- [15-213 Introduction to Computer Systems, Fall 2015 - CMU](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22b96d90ae-9871-4fae-91e2-b1627b43e25e%22&maxResults=150)
- [Computer Systems: A programmer's Perspective](https://www.youtube.com/playlist?list=PLyboo2CCDSWnhzzzzDQ3OBPrRiIjl-aIE)
- [CS361 - COMPUTER SYSTEMS - UIC](https://www.cs.uic.edu/~ckanich/cs361/f20/)
- [CS 3650 - Computer Systems - Fall 2020 - Nat Tuck - NEU](https://web.archive.org/web/20210423030302/https://ntuck-neu.site/2020-09/cs3650/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLtg_A_3rzLAtBuwQp6mA3WveYw9Q7GzIZ))
- [CS 4400 – Computer Systems Fall 2016 - UoUtah](https://www.eng.utah.edu/~cs4400/)
@ -507,6 +508,8 @@ Table of Contents
- [ETH Zürich | Deep Learning in Scientific Computing 2023](https://www.youtube.com/playlist?list=PLJkYEExhe7rYY5HjpIJbgo-tDZ3bIAqAm)
- [CS294 Deep Unsupervised Learning Spring 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home)
- [Applied Deep Learning Maziar Raissi](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)
- [UC Berkeley CS 182 / 282a Deep Learning spring 2023, by Anant Sahai](https://www.youtube.com/playlist?list=PLIygTcviGPKAaj_UAJcazYN4964xZ7Lt1)
- [Foundations of Deep Learning - UMD](https://www.youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf)
- [ECE524 Foundations of Reinforcement Learning at Princeton University, Spring 2024](https://www.youtube.com/playlist?list=PLYXvCE1En13epbogBmgafC_Yyyk9oQogl)
- [REINFORCEMENT LEARNING AND OPTIMAL CONTROL - Dimitri P. Bertsekas, ASU](https://web.mit.edu/dimitrib/www/RLbook.html)
- [CMU 16 745 Optimal Control and Reinforcement Learning spring by Zac Manchester](https://www.youtube.com/@roboticexplorationlab3724/playlists)
- [CMU 16 899 Adaptive Control and Reinforcement Learning fall 2020, by Changliu Liu](https://www.youtube.com/playlist?list=PLZL5VXraKdz-0zByoPNzNTqSirR4veU8z)
- #### **Advanced Machine Learning**
- [Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/aml2021)
@ -625,6 +629,7 @@ Table of Contents
- [EE512A - Advanced Inference in Graphical Models, Fall Quarter, 2014](https://people.ece.uw.edu/bilmes/classes/ee512/ee512_fall_2014/)
- [UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison](https://www.youtube.com/playlist?list=PLIygTcviGPKB133Vh7zxsxFoblyfS4P5Y)
- [University of Wisconsin-Madison CS/ECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley](https://mediaspace.wisc.edu/channel/CS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913)
- [Statistical Physics of Machine Learning](https://www.youtube.com/playlist?list=PL04QVxpjcnjgzMr9ehyZUSkwu0Wr0cF_N)
------------------------------
@ -717,6 +722,7 @@ Table of Contents
- [UCLA Stats 102A Introduction to Computational Statistics with R winter 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKCiE3kiMI7ofuQ3wmXQUcmx)
- [UCLA Stats 102B Computation and Optimization for Statistics spring 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKD4XftRgjRlTITljOx792YN)
- [UCLA Stats 102C Introduction to Monte Carlo Methods fall 2023, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKDv0fZ7RxMGPuaa1Yqx_bzh)
- [Mathematical Foundations of Machine Learning (Fall 2021) - University of Chicago - Rebecca Willett](https://willett.psd.uchicago.edu/teaching/mathematical-foundations-of-machine-learning-fall-2021/)
- [18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/)
@ -1045,6 +1051,10 @@ introduction/id389259246))
- [Computational Physics Course in Python, Rutgers 2021](https://www.youtube.com/playlist?list=PLXmUYdQdC9IGv61Y1lhGBH0NsDQRdwcJE)
- [Jake VanderPlas: Machine learning in Astronomy python tutorial](https://www.youtube.com/playlist?list=PLzWVyeIO6Cmt1cWrzwF2yqW-9j5TgyQaD)
------------------------------
### Computational Biology
@ -1081,6 +1091,7 @@ introduction/id389259246))
- [Statistical Models in Computational Biology](https://video.ethz.ch/lectures/d-bsse/2018/spring/636-0702-00L/21c63925-cd10-4d56-bac1-b412ed6fe385.html)
- [ETH Zürich Statistical Models in Computational Biology spring 2018, by Niko Beerenwinkel](https://video.ethz.ch/lectures/d-bsse/2018/spring/636-0702-00L/21c63925-cd10-4d56-bac1-b412ed6fe385.html)
- [UC Berkeley CS 198-96 Introduction to Neurotechnology fall 2020](https://github.com/neurotech-berkeley/neurotech-course)
- [MLCB24 - Machine Learning in Computational Biology Fall 2024](https://www.youtube.com/playlist?list=PLypiXJdtIca4gtioEPLIExlAKvu64z7rc)
------------------------------
@ -1171,6 +1182,7 @@ introduction/id389259246))
- [MAE 509 Linear Matrix Inequality Methods in Optimal and Robust Control, by Matthew M. Peet](https://www.youtube.com/playlist?list=PL5ebyVGQORm6n158o-I_liUZ7Q5Od43li)
- [UIUC CS 588 Autonomous Vehicle System Engineering fall 2021, by David Forsyth](http://luthuli.cs.uiuc.edu/~daf/courses/MAAV-21/588-2021-records.html)
- [EPFL ME 425 Model Predictive Control fall 2020, by Colin Jones](https://www.youtube.com/playlist?list=PLHmHXT53cpnkpbwLqlKae0iKexM8SXKDM)
- [Robots That Learn - UC Berkeley CS 294-277](https://www.youtube.com/playlist?list=PLPaC96j0xdLcYLTSoSk9PO1Yg-1udJd-S)
------------------------------
@ -1192,6 +1204,7 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
- [Harvard Economics 2355 Deep Learning for Economics spring 2023, by Melissa Dell](https://www.youtube.com/playlist?list=PLGTgQIsun7ueGTRzDlBWqgX6xBlMce-QC)
- [MATH69122 Stochastic Control for Finance](https://appliedprobability.blog/category/math69122-stochastic-control-for-finance/page/2/)
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